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Machine Learning Course Syllabus

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Embark on a journey into the exciting world of Machine Learning! Our Machine Learning course syllabus will introduce you to the cutting-edge techniques that enable computers to learn from data, make predictions, and solve complex problems. Explore a wide range of algorithms, from simple linear regression to sophisticated deep learning models, and gain hands-on experience with real-world applications in our machine learning syllabus for beginners. Our syllabus of machine learning course provides a comprehensive introduction to the principles and techniques of Machine Learning.

Course Syllabus

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  • Object Oriented
  • Platform Independent
  • Automatic Memory Management
  • Compiled / Interpreted Approach
  • Robust
  • Secure
  • Dynamic Linking
  • Multi Threaded
  • Built-In Networking
  • Data Types
  • Operators
  • Control Statements
  • Arrays
  • Enhanced For-Loop
  • Enumerated Types
  • Static Import
  • Auto Boxing
  • C-Style Formatted I/O
  • Variable Arguments
  • Object And Class Definition
  • Using Encapsulation To Combine Methods And Data In A Single Class
  • Inheritance And Polymorphism
  • Encapsulation
  • Polymorphism
  • Inheritance
  • OOP In Machine Learning
  • Class Fundamentals
  • Using Objects
  • Constructor
  • Garbage Collection
  • Method Overloading
  • Method Overriding
  • Static Members
  • Understanding Interface
  • Using Interfaces Class
  • Why Packages
  • Understanding Classpath
  • Access Modifiers And Their Scope
  • Importance Of Exception Handling
  • Exception Propagation
  • Exception Types
  • Using Try And Catch
  • Throw, Throws, Finally
  • Writing User Defined Exceptions
  • Byte Oriented Streams
  • File Handling
  • Readers And Writers
  • Introduction To Multi-Threading
  • Understanding Threads And Its States
  • Machine Learning Threading Model
  • Thread Class And Runnable Interface
  • Thread Priorities
  • Thread Synchronization
  • Inter Thread Communication
  • Preventing Deadlocks
  • Defining A Solution Without Writing Code
  • Organizing A Concept Solution
  • Creating A Program Skeleton
  • Defining Error Checking Requirements
  • Introduction To Application Security
  • Introduction To Networking
  • Inet Address
  • URL
  • TCP Socket And Server Socket
  • UDP Socket
  • Developing A Chat Application
  • Collection And Iterator Interface
  • Enumeration
  • List And ArrayList
  • Vector
  • Comparator
  • Set Interface And SortedSet
  • Hashtable
  • Properties
  • Introduction To Generics
  • Using Built-In Generics Collections
  • Writing Simple Generic Class
  • Bounded Generics
  • Wild Card Generics
  • Nested Top Level Classes
  • Member Classes
  • Local Classes
  • Anonymous Classes
  • Graphics
  • Color And Font
  • AWT Components/Controls
  • Event Handling And Layouts
  • Introduction To Swing And MVC Architecture
  • Light Weight Component
  • Swing Hierarchy
  • Atomic Components E.G. JButton, JList And More
  • Intermediate Container E.G. JPanel, JSplitPane And More
  • Top-Level Container E.G. JFrame And JApplet
  • Swing Related Events
  • Introduction
  • Match function
  • Search function
  • Grouping
  • Matching at Beginning or End
  • Match Objects
  • Flags
  • Exercise

Learn to apply Machine Learning techniques to real-world problems, develop practical projects, and build a strong foundation for a successful career in the field of Artificial Intelligence through our machine learning course.

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